Literature DB >> 10068079

Routinely available indicators of prognosis in breast cancer.

D L Page1, R A Jensen, J F Simpson.   

Abstract

Diagnosis coupled with prognostication is the challenge for and charge of the pathologist. In this time of rapidly developing basic knowledge and increasing sophistication in the evaluation of prognostic information, there has also been an important re-evaluation of the validity, reliability, and relevance of classic histopathology. Also, the precision of and criteria for evaluating tumor size and status of regional lymph nodes is under study. Our emphasis in this review is tissue pathology and further, its practical relevance to patient management. Histopathology remains the basis of diagnosis universally; the addition of other elements will increase precision of prediction, particularly of responsiveness to individual therapies. Histologic grade may be integrated to substratify high and low stage cases into prognostically more useful subsets. Histologic types also interact with size and nodal status to predict patients with excellent prognosis. Further refinement of these parameters may occur by analysis within clinical, pathologic, or therapeutic subsets.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 10068079     DOI: 10.1023/a:1006122716137

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  18 in total

1.  Accuracy of typing and grading invasive mammary carcinomas on core needle biopsy compared with the excisional specimen.

Authors:  Victor Piana de Andrade; Helenice Gobbi
Journal:  Virchows Arch       Date:  2004-10-08       Impact factor: 4.064

2.  Interdisciplinary GoR level III Guidelines for the Diagnosis, Therapy and Follow-up Care of Breast Cancer: Short version - AWMF Registry No.: 032-045OL AWMF-Register-Nummer: 032-045OL - Kurzversion 3.0, Juli 2012.

Authors:  R Kreienberg; U-S Albert; M Follmann; I B Kopp; T Kühn; A Wöckel
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-06       Impact factor: 2.915

3.  Estrogen metabolism and exposure in a genotypic-phenotypic model for breast cancer risk prediction.

Authors:  Philip S Crooke; Christina Justenhoven; Hiltrud Brauch; Sheila Dawling; Nady Roodi; Kathryn S P Higginbotham; W Dale Plummer; Peggy A Schuyler; Melinda E Sanders; David L Page; Jeffrey R Smith; William D Dupont; Fritz F Parl
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-05-24       Impact factor: 4.254

4.  Stromal caveolin-1 expression in breast carcinoma. Correlation with early tumor recurrence and clinical outcome.

Authors:  Saba Mohamed El-Gendi; Mohamed Farouk Mostafa; Ahmed Mohamed El-Gendi
Journal:  Pathol Oncol Res       Date:  2011-11-07       Impact factor: 3.201

5.  CORRELATIONSHIP OF HORMONE RECEPTOR STATUS, p53 MUTATION AND c-erb B-2 OVEREXPRESSION WITH NUCLEAR GRADING IN BREAST CANCERS.

Authors:  Prabal Deb; G U Deshpande; Ramji Rai
Journal:  Med J Armed Forces India       Date:  2017-06-12

6.  A study of interval breast cancer within the NHS breast screening programme.

Authors:  W K Cowan; B Angus; J C Gray; L G Lunt; S R al-Tamimi
Journal:  J Clin Pathol       Date:  2000-02       Impact factor: 3.411

7.  Runx2 Expression as a Potential Prognostic Marker in Invasive Ductal Breast Carcinoma.

Authors:  Saba Mohamed El-Gendi; Mohamed Farouk Mostafa
Journal:  Pathol Oncol Res       Date:  2015-11-23       Impact factor: 3.201

8.  B-vitamin intake, one-carbon metabolism, and survival in a population-based study of women with breast cancer.

Authors:  Xinran Xu; Marilie D Gammon; James G Wetmur; Patrick T Bradshaw; Susan L Teitelbaum; Alfred I Neugut; Regina M Santella; Jia Chen
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-08       Impact factor: 4.254

9.  Protein phosphatase 2A subunit gene haplotypes and proliferative breast disease modify breast cancer risk.

Authors:  William D Dupont; Joan P Breyer; Kevin M Bradley; Peggy A Schuyler; W Dale Plummer; Melinda E Sanders; David L Page; Jeffrey R Smith
Journal:  Cancer       Date:  2010-01-01       Impact factor: 6.860

10.  Prognosis of breast cancer is associated with one-carbon metabolism related nutrients among Korean women.

Authors:  Yunhee Lee; Sang-Ah Lee; Ji-Yeob Choi; Minkyo Song; Hyuna Sung; Sujee Jeon; Sue K Park; Keun-Young Yoo; Dong-Young Noh; Sei-Hyun Ahn; Daehee Kang
Journal:  Nutr J       Date:  2012-08-28       Impact factor: 3.271

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.